Exosome-Enriched Plasma Analysis as a Tool for the Early Detection of Hypertensive Gestations

9Citations
Citations of this article
34Readers
Mendeley users who have this article in their library.

Abstract

Hypertensive disorders of pregnancy are closely associated with prematurity, stillbirth, and maternal morbidity and mortality. The onset of hypertensive disorders of pregnancy (HDP) is generally noticed after the 20th week of gestation, limiting earlier intervention. The placenta is directly responsible for modulating local and systemic physiology by communicating using mechanisms such as the release of extracellular vesicles, especially exosomes. In this study, we postulated that an analysis of exosome-enriched maternal plasma could provide a more focused and applicable approach for diagnosing HDP earlier in pregnancy. Therefore, the peripheral blood plasma of 24 pregnant women (11 controls, 13 HDP) was collected between 20th and 24th gestational weeks and centrifuged for exosome enrichment. Exosome-enriched plasma samples were analyzed by Raman spectroscopy and by proton nuclear magnetic resonance metabolomics (1H NMR). Principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) were used to analyze the Raman data, from the spectral region of 600–1,800 cm–1, to determine its potential to discriminate between groups. Using principal component analysis, we were able to differentiate the two groups, with 89% of all variances found in the first three principal components. In patients with HDP, most significant differences in Raman bands intensity were found for sphingomyelin, acetyl CoA, methionine, DNA, RNA, phenylalanine, tryptophan, carotenoids, tyrosine, arginine, leucine, amide I and III, and phospholipids. The 1H NMR analysis showed reduced levels of D-glucose, L-proline, L-tyrosine, glycine, and anserine in HDP, while levels of 2-hydroxyvalerate, polyunsaturated fatty acids, and very-low-density lipoprotein (VLDL) were increased. 1H NMR results were able to assign an unknown sample to either the control or HDP groups at a precision of 88.3% using orthogonal partial least squares discriminant analysis and 87% using logistic regression analysis. Our results suggested that an analysis of exosome-enriched plasma could provide an initial assessment of placental function at the maternal-fetal interface and aid HDP diagnosis, prognosis, and treatment, as well as to detect novel, early biomarkers for HDP.

References Powered by Scopus

Minimal information for studies of extracellular vesicles 2018 (MISEV2018): a position statement of the International Society for Extracellular Vesicles and update of the MISEV2014 guidelines

7777Citations
N/AReaders
Get full text

HMDB 4.0: The human metabolome database for 2018

2707Citations
N/AReaders
Get full text

2020 International Society of Hypertension Global Hypertension Practice Guidelines

2346Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Extracellular vesicles as personalized medicine

50Citations
N/AReaders
Get full text

Metabolomics of Extracellular Vesicles: A Future Promise of Multiple Clinical Applications

23Citations
N/AReaders
Get full text

Exosomes in the Treatment of Pancreatic Cancer: A Moonshot to PDAC Treatment?

18Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Weingrill, R. B., Paladino, S. L., Souza, M. L. R., Pereira, E. M., Marques, A. L. X., Silva, E. C. O., … Borbely, A. U. (2021). Exosome-Enriched Plasma Analysis as a Tool for the Early Detection of Hypertensive Gestations. Frontiers in Physiology, 12. https://doi.org/10.3389/fphys.2021.767112

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 11

69%

Researcher 4

25%

Lecturer / Post doc 1

6%

Readers' Discipline

Tooltip

Medicine and Dentistry 6

46%

Biochemistry, Genetics and Molecular Bi... 3

23%

Nursing and Health Professions 2

15%

Engineering 2

15%

Save time finding and organizing research with Mendeley

Sign up for free